Abstract: What is disclosed is a computerized system and method that include a data ingestion logic module that automatically receive, cleanse, and process data associated with a plurality of patients to create a plurality of holistic patient records that include identity and demographic metrics associated with each patient, clinical metrics associated with each patient, clinical utilization metrics associated with each patient, social determinants of health metrics associated with each patient at the blockgroup level, and social determinants of health metrics associated with each patient at the census track level.

Abstract: The personal pandemic proximity index system and method include a data ingestion pipeline configured to receive location data associated with disease-positive cases, a data processing module configured to clean and process the received data, a personal pandemic proximity module configured to determine a numerical personal pandemic proximity index value associated with an individual having an interaction at an address relative to the location data, and a graphical user interface configured to present, to a patient care team, the numerical personal pandemic proximity index value, which may include a modified workflow to limit the spread of disease.

Abstract: A system and method for analyzing a string of unstructured text includes parsing the string of unstructured text, recognizing at least one word in the string of unstructured text representing at least one named entity, searching for at least one word in the string of unstructured text representing a negation expression preceding the at least one named entity, searching for at least one word in the string of unstructured text representing a negation expression following the at least one named entity, and tagging the at least one named entity as at least one negative named entity in response to identifying at least one word representing a negation expression preceding or following the at least one named entity.

Abstract: A lightweight clinical pregnancy preterm birth predictive system includes a data store configured to receive and store patient data consisting of only health insurance claim data associated with a plurality of patients, a predictive model including a plurality of weighted risk variables and risk thresholds, a risk logic module configured to identify a pool of pregnant patients and to apply the predictive model to the patient data of the pool of pregnant patients to determine a risk score for each pregnant patient to identify at least one patient who is at risk for preterm birth, and a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient.